Below is the map detailing the redlining grades given to areas in NYC. The corresponding colors and grades are in the legend. There are areas that our data set does not have information for, which are colored grey.
<<<<<<< HEAD <<<<<<< HEAD ======= >>>>>>> 73fd96cca4c9996e2ce0a3bd432c6b31e24849c5 ======= >>>>>>> 73fd96cca4c9996e2ce0a3bd432c6b31e24849c5This map effectively captures the historical spatial boundaries of redlining across NYC boroughs, showing how systemic inequities were distributed geographically.
Lets look at Redlining Scores in a different way

This graph shows different details. The distribution of the scores are fairly different for each of the boroughs, with Manhattan having the largest range and Queens having the smallest. Additionally, the mean and median redlining score for each of the borough are almost overlapping/the same. However, Manhattan has pretty different mean and median (mean closer to 3 and median closer to 4).
This graph shows the grade count in each of the boroughs. Staten Island, Queens, and Bronx have the most C grade in their neighborhood (followed by D grade in second place). Manhattan and Brooklyn have grade D as the most frequent. This is reflective of what was previously observed in the violin plot.
This map illustrates the strong correlation between historical redlining and present-day SNAP enrollment, underscoring how systemic inequities continue to influence food assistance needs across NYC.
This graph depicts the average % of households on SNAP within the areas with the grades. Unsurprisingly, areas with redlining grade of D have the highest average % of households on SNAP (23.7%), followed by C (18.6%), then B (17.2) and A (5.7) with the lowest.
This is a stacked bar chart showing the race distribution of households by historical redlining grades (A, B, C, D, NA) in New York City.

This map provide a focused exploration of healthy grocery stores in three boroughs: Manhattan, Brooklyn, and the Bronx.
The density of healthy grocery stores in Bronx is uneven across neighborhoods, with higher concentrations in specific areas.
In Brooklyn, healthy grocery stores are relatively well-distributed, but there are clear clusters in central and northern neighborhoods. Southern Brooklyn appears less represented in this dataset, potentially reflecting disparities in access.
This map provide a focused exploration of healthy grocery stores in =======
This map provide a focused exploration of healthy grocery stores in >>>>>>> 73fd96cca4c9996e2ce0a3bd432c6b31e24849c5 three boroughs: Manhattan, Brooklyn, and the Bronx. * The density of healthy grocery stores in Bronx is uneven across neighborhoods, with higher concentrations in specific areas. * In Brooklyn, healthy grocery stores are relatively well-distributed, but there are clear clusters in central and northern neighborhoods. Southern Brooklyn appears less represented in this dataset, potentially reflecting disparities in access.
>>>>>>> 73fd96cca4c9996e2ce0a3bd432c6b31e24849c5
The graph shows how redlining grades correlate with health outcomes (diabetes, obesity, and high cholesterol) in New York City. The neighborhoods with A grades have slightly lower rates of diabetes and obesity, but D areas suffer from higher rates of these conditions. High cholesterol rates are interestingly higher in better-graded areas, suggesting that factors such as access to healthcare and preventive services may play a significant role in these health outcomes.